Prepopulating application forms using real-time video analysis of identified objects

ABSTRACT

Embodiments of the invention are directed to methods and apparatuses for populating documents based on identification of objects in an augmented reality environment. The method includes capturing a video stream using a mobile computing device; determining, using a computing device processor, the object; identifying a document associated with the object; populating at least a portion of the document; and submitting the document. The method may also include presenting indicators associated with the user, the identified document, or a financial transaction associated with the document. The method may also include providing recommendations or suggestions to the user related to alternative offers associated with the document. Systems and computer program products for populating forms using video analysis of identified objects are also provided.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to U.S. Provisional Patent ApplicationNo. 61/450,213, filed Mar. 8, 2011, entitled “Real-Time Video ImageAnalysis Applications for Commerce Activity,” the entirety of which isincorporated herein by reference.

BACKGROUND

Modern handheld mobile devices, such as smart phones and the like,combine multiple technologies to provide the user with a vast array ofcapabilities. For example, many smart phones are equipped withsignificant processing power, sophisticated multi-tasking operatingsystems, and high-bandwidth Internet connection capabilities. Moreover,such devices often have additional features that are becomingincreasingly more common as standardized features. Such featuresinclude, but are not limited to, location-determining devices, such asGlobal Positioning System (GPS) devices; sensor devices, such asaccelerometers and touch pads; and high-resolution video cameras.

As the hardware capabilities of such mobile devices have increased, soto have the applications (i.e., software) that rely on the hardwareadvances. One such example of innovative software is a category known asaugmented reality (AR), or more generally referred to as mediatedreality. One such example of an AR presentation application platform isLayar, available from Layar, Amsterdam, the Netherlands.

The Layar platform technology analyzes real-time video data, locationdata, compass direction data and the like in combination withinformation related to the objects, locations or the like in the videostream to create browse-able “hot-spots” or “tags” that are superimposedon the mobile device display, resulting in an experience described as“reality browsing.”

In many circumstances it may be useful to be able to identify documentsbased on real-time capture of images. Presently, individuals are limitedin their ability to identify documents associated with objects in theenvironment. Individuals must search for documents that may or may notbe related to the various objects, displays, and images that individualsencounter in the environment. Some documents may not be immediatelyavailable to the user. In fact, users may not even know where to lookfor documents or that a document even exists relating to something inthe environment. For example, a person may not know that a product comeswith a warranty card that can be completed to get an extended warrantyon the product. This difficulty in identifying documents isinconvenient, time consuming, and does not assist the individual.

Further still, the individual must then go through the tedious processof completing forms and documents. Often, documents require repetitiveinput of information such as addresses, names, and phone numbers. Thisis also time consuming. In some cases, the documents require obscureinformation that the individual does not have convenient access to. Forexample, a document may request information on the individual's previousyear tax return. While the individual may be able to locate thatinformation, the inconvenience of having to search for that informationis an additional burden on individuals.

Also, documents can be lost and result in security issues when personalinformation is entered into the document. Individuals may desire toquickly and easily complete electronic versions of documents and submitthem without risking losing paper documents.

Therefore, a need exists to implement real-time video analysis, i.e., ARor the like, to assist the user of mobile devices with identifying,augmenting, and completing documents.

SUMMARY

The following presents a simplified summary of one or more embodimentsof the present invention in order to provide a basic understanding ofsuch embodiments. This summary is not an extensive overview of allcontemplated embodiments, and is intended to neither identify key orcritical elements of all embodiments nor delineate the scope of any orall embodiments. Its sole purpose is to present some concepts of one ormore embodiments in a simplified form as a prelude to the more detaileddescription that is presented later.

Methods, apparatus systems and computer program products are describedherein that provide for using real-time video analysis, such as AR orthe like to assist the user of mobile devices with populating documentsbased on identification of objects. Through the use of real-time imageobject recognition, objects can be determined in a real-time videostream and can be matched to documents to assist the user withidentifying and populating the document. In specific embodiments,reference images are used to identify objects based on comparison ofdiagnostic markers and then the associated documents are identifiedbased on information available in a database. In another embodimentdisclosed here, the method then populates at least a portion of thedocument with user-specific information, document-specific information,or financial transaction-specific information. These embodiments areexemplary.

To the accomplishment of the foregoing and related ends, the one or moreembodiments comprise the features hereinafter fully described andparticularly pointed out in the claims. The following description andthe annexed drawings set forth in detail certain illustrative featuresof the one or more embodiments. These features are indicative, however,of but a few of the various ways in which the principles of variousembodiments may be employed, and this description is intended to includeall such embodiments and their equivalents.

Some embodiments of the present invention provide a computer-implementedmethod wherein a mobile device is used to capture a real-time videostream. A processor analyzes the real-time video stream to determinewhich objects present in the video stream are associated with documents.The processor then identifies the document based on, in some cases,markers associated with the object. In an embodiment, the processorcompares the markers to reference markers available in databases. Insome embodiments, the processor populates at least a portion of thedocument with user-specific data. In an embodiment, the mobile devicealso presents one or more indicators associated with the user or theidentified document in the real-time video stream. In still furtherembodiments, augmenting the document with user data allows the user tocomplete a financial transaction, such as a balance transfer. In someembodiments, the financial transaction is a purchase, sale, or transferof funds (e.g., a gift or charitable donation, etc.). In someembodiments, information is presented in accordance with thetransaction, such as the remaining balance in the account. Many types ofindicators providing both information and potential actions can bepresented in the user in accordance with some embodiments of theinvention.

Consistent with certain embodiments of the invention, identifying adocument from the image captured in the real-time video stream involvesanalyzing reference images that are available to the user and thencomparing identifiable characteristics from the captured images with thereference images. The reference images may be publicly availableinformation, may be available from social networking sites, or may beprovided by businesses, government, non-profits, or the financialinstitution.

Embodiments of the invention also provide an apparatus where theapparatus has a device for capturing a real-time video stream, acomputing platform having a processor, a memory in communication withthe processor, and logic stored in the memory, executable by theprocessor, and configured to determine which images from the real-timevideo stream are associated with a document. The logic may also compriseidentification logic stored in the memory, executable by the processor,and configured to identify objects in the video stream. The apparatusfurther comprises image comparison logic stored in the memory,executable by the processor, and configured to identify a document basedon comparison of the object to a reference image, and documentpopulation logic stored in the memory, executable by the processor, andconfigured to populate the document.

In some embodiments, the apparatus also comprises a display forpresenting the real-time video stream with one or more indicators, eachindicator being associated with the user, the document, or the financialtransaction. In further embodiments, the apparatus includes a positionsystem device, wherein the document is identified at least in part on alocation where the object is captured determined by the positioningsystem device. The apparatus may include input devices, output devices,and networking devices for receiving reference images. The apparatus mayalso include a microphone for receiving an audio recording and beconfigured to identify the document at least in part from the audiorecording.

Embodiments of the invention also provide a computer program productcomprising a non-transitory computer-readable medium havingcomputer-executable code stored thereon. In one embodiment, thecomputer-executable code includes: a first code portion configured tocapture, via a mobile device, a real-time video stream, a second codeportion configured to analyze the real-time video stream to determineobjects; a third code portion configured to identify a documentassociated with the object in the real-time video stream; a fourth codeportion configured to populate at least a portion of the document withuser information; and a fifth code portion configured to presentinformation related to the document. In some embodiments, the computerprogram product also includes an additional code portion configured toprovide offers associated with the document.

The features, functions, and advantages that have been discussed may beachieved independently in various embodiments of the present inventionor may be combined with yet other embodiments, further details of whichcan be seen with reference to the following description and drawings

BRIEF DESCRIPTION OF THE DRAWINGS

Having thus described embodiments of the invention in general terms,reference will now be made to the accompanying drawings, which are notnecessarily drawn to scale, and wherein:

FIG. 1 is a flow chart of a method for populating documents associatedwith objects in a real-time video stream in accordance with anembodiment of the invention;

FIG. 2 is a block diagram illustrating a mobile device, in accordancewith an embodiment of the invention;

FIG. 3 is a block diagram illustrating an AR environment, in accordancewith an embodiment of the invention;

FIG. 4 is a block diagram illustrating a mobile device, in accordancewith an embodiment of the invention; and

FIG. 5 is a block diagram illustrating an AR environment wherein theuser is presented with a document, in accordance with an embodiment ofthe invention.

DETAILED DESCRIPTION OF EMBODIMENTS OF THE INVENTION

Embodiments of the present invention will now be described more fullyhereinafter with reference to the accompanying drawings, in which some,but not all, embodiments of the invention are shown. Indeed, theinvention may be embodied in many different forms and should not beconstrued as limited to the embodiments set forth herein; rather, theseembodiments are provided so that this disclosure will satisfy applicablelegal requirements. In the following description, for purposes ofexplanation, numerous specific details are set forth in order to providea thorough understanding of one or more embodiments. It may be evident;however, that such embodiment(s) may be practiced without these specificdetails. Like numbers refer to like elements throughout.

Various embodiments or features will be presented in terms of systemsthat may include a number of devices, components, modules, and the like.It is to be understood and appreciated that the various systems mayinclude additional devices, components, modules, etc. and/or may notinclude all of the devices, components, modules etc. discussed inconnection with the figures. A combination of these approaches may alsobe used.

The steps and/or actions of a method or algorithm described inconnection with the embodiments disclosed herein may be embodieddirectly in hardware, in a software module executed by a processor, orin a combination of the two. A software module may reside in RAM memory,flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a harddisk, a removable disk, a CD-ROM, or any other form of storage mediumknown in the art. An exemplary storage medium may be coupled to theprocessor, such that the processor can read information from, and writeinformation to, the storage medium. In the alternative, the storagemedium may be integral to the processor. Further, in some embodiments,the processor and the storage medium may reside in an ApplicationSpecific Integrated Circuit (ASIC). In the alternative, the processorand the storage medium may reside as discrete components in a computingdevice. Additionally, in some embodiments, the events and/or actions ofa method or algorithm may reside as one or any combination or set ofcodes and/or instructions on a machine-readable medium and/orcomputer-readable medium, which may be incorporated into a computerprogram product.

In one or more embodiments, the functions described may be implementedin hardware, software, firmware, or any combination thereof. Ifimplemented in software, the functions may be stored or transmitted asone or more instructions or code on a computer-readable medium.Computer-readable media includes both computer storage media andcommunication media including any medium that facilitates transfer of acomputer program from one place to another. A storage medium may be anyavailable media that can be accessed by a computer. By way of example,and not limitation, such computer-readable media can comprise RAM, ROM,EEPROM, CD-ROM or other optical disk storage, magnetic disk storage orother magnetic storage devices, or any other medium that can be used tocarry or store desired program code in the form of instructions or datastructures, and that can be accessed by a computer. Also, any connectionmay be termed a computer-readable medium. For example, if software istransmitted from a website, server, or other remote source using acoaxial cable, fiber optic cable, twisted pair, digital subscriber line(DSL), or wireless technologies such as infrared, radio, and microwave,then the coaxial cable, fiber optic cable, twisted pair, DSL, orwireless technologies such as infrared, radio, and microwave areincluded in the definition of medium. “Disk” and “disc”, as used herein,include compact disc (CD), laser disc, optical disc, digital versatiledisc (DVD), floppy disk and blu-ray disc where disks usually reproducedata magnetically, while discs usually reproduce data optically withlasers. Combinations of the above should also be included within thescope of computer-readable media.

Thus, methods, systems, computer programs and the like are hereindisclosed that provide for using real-time video analysis, such as AR,to augment documents based on identification of objects in the augmentedreality environment.

The methods, systems, computers programs and the like disclosed hereinuse real-time vision object recognition to identify objects such assigns, text, advertisements, receipts, warranty cards, in the real-timevideo stream and identify documents associated with the objects. Oncethe object is determined, the processor identifies the document and insome cases populates at least a portion of the document. In specificembodiments, images stored in a database will be used to identifydiagnostic markers of objects in the real-time video stream. In otherembodiments, indicators relating to the user, the document, or thefinancial transaction associated with the document will be presented tothe user in the real-time video stream. The indicators may merelyprovide information to the user or may allow the user to provide inputin how to complete the document.

While embodiments discussed herein are generally described with respectto “real-time video streams” or “real-time video” it will be appreciatedthat the video stream may be captured and stored for later viewing andanalysis. Indeed, in some embodiments video is recorded and stored on amobile device and portions or the entirety of the video may be analyzedat a later time. The later analysis may be conducted on the mobiledevice or loaded onto a different device for analysis. The portions ofthe video that may be stored and analyzed may range from a single frameof video (e.g., a screenshot) to the entirety of the video.Additionally, rather than video, the user may opt to take a stillpicture of the environment to be analyzed immediately or at a latertime. Embodiments in which real-time video, recorded video or stillpictures are analyzed are contemplated herein.

FIG. 1 illustrates a general process flow of a computer-implementedmethod 100 for augmenting documents based on identification of an objectin a real-time video stream in accordance with an embodiment of theinvention. As represented by block 102 a mobile device is used tocapture an object associated with a document in a real-time videostream. Then, as represented by block 104 a processor determines theobject by analyzing the real-time video stream and identifying objectssuch as symbols and text. The processor may compare captured images ofthe object to reference images. Then, as represented by block 106, theprocessor then identifies the document associated with the object. Theprocessor than populates at least a portion of the document with userinformation, as represented by block 108. In some embodiments, offersassociated with the document are provided to the user, as represented byblock 110. In an embodiment depicted in block 112, the processorpresents an indicator in the real-time video. In still furtherembodiments shown in block 114, the processor submits the document afterpopulating the document with user information. Embodiments of thecomputer-implemented method 100, and systems and apparatus forperforming the computer-implemented method 100, are described in greaterdetail below with reference to FIGS. 1-5.

In block 102, the computer-implemented method 100 captures, via a mobiledevice, an object associated with a document. In an embodiment, themobile device captures the object in a real-time video stream. Forexample, the user may activate a video camera on a mobile device and panthe video camera over an environment comprising at least one object. Inanother embodiment, the computer-implemented method 100 captures theobject by receiving a file comprising a video stream. It should beunderstood that the mobile device may capture the object in a variety ofways, such as via still pictures, through viewing of a video clip on theinternet, or other means, and that use of a video camera is onlyintended to describe an exemplary embodiment.

In an embodiment, the object is associated with a document. In oneembodiment, the object is an advertisement, commercial, or offer. Forexample, the object may be a credit card commercial associated with anapplication for the credit card. In another embodiment, the object is aproduct of a financial transaction. For example, the object may be areceipt. The mobile device may capture the receipt and associate it witha reimbursement request by the user or identify a warranty cardassociated with the product identified in the receipt. Still further,the receipt may be associated with a sweepstakes or contest, which isthen entered based on submission of a form with information derived fromthe receipt (e.g., proof of purchase, date of purchase, etc.). In afurther embodiment, the object is associated with a personal document ofthe user. For example, the user may capture an image of a plane ticketin a real-time video stream. The processor identifies the flight numberon the plane ticket, associates the flight number with an itinerary forthe user, and populates the itinerary with the gate number, status, orother information related to the flight. In a further embodiment, theprocessor retrieves up-to-date information regarding the flight andupdates the itinerary as needed.

In some embodiments, the object is associated with an organization suchas a business or non-profit. For example, the object may be theorganization's logo, color scheme, icon, trademark, name, etc. When theobject is determined, a document may be identified that is associatedwith the organization. For example, a job listing, review form, feedbackform, or other document that can be completed with at least a portion ofthe user's information may be identified.

In an embodiment, the object is a document that contains information.The mobile device captures the document, the information in the documentis extracted, and the data is transferred to a second document that isassociated with the object. For example, a user may capture a W2 taxform provided by the user's employer in a real-time video. The methoddetermines that the object (the W2) is associated with the user's 1040federal income tax form, extracts the information stored in the W2, andautomatically populates the 1040 with the data extracted from the W2.Often, personal documents of the user, such as driver's license,passport, social security card, business card, etc., will containinformation that is used to complete other forms. This information canbe extracted, stored, and used in other documents through thecomputer-implemented method.

In a still further embodiment, the object is an application, document,or image displayed on the screen of another mobile device. The mobiledevice captures an image of the screen, determines an object on thescreen, and identifies a document associated with the object. Forexample, a user may capture a real-time video of an applicationoperating on another individual's mobile device. The processordetermines the object, i.e., the application, and identifies an orderform associated with the application. The processor may also populate atleast a portion of the order form for the user and in some cases submitthe order form.

In a still further embodiment, the object is text that is captured inthe real-time video. For example, the user may capture the text in areal-time video. The document associated with the text may be atranslation of the text, such as a translation from a foreign languageto a language that the user is able to read. Still further, the documentmay be a definition of a word in the text, such as a word selected bythe user through interaction with an indicator. In a further embodiment,the text is a description of the object identified by the text. Forexample, the method may capture the name of a book in the real-timevideo screen and direct the user to an online review site for the book.

In some embodiments, the object is associated with the user's socialnetworking profile. For example, the user may capture an object in areal-time video stream and populate the user's social networking profilebased on the object. In one example, the user captures objects that theuser likes or is interested in order to update the user's socialnetworking profile. The user may capture a movie poster in a videostream and update the user's social networking profile with theinformation that user likes the movie. In an embodiment, the methodupdates the user's current activity in the user's social networkingprofile based on an object that is captured in the video stream. In theprevious movie poster example, the method may update the user's profileto indicate that the user is currently going to the movie.

In block 104, the computer-implemented method 100 determines the object.In some embodiments, the computer-implemented method 100 determines theobject based on comparison of an image of the object to a referenceimage. In some embodiments, objects are determined based on diagnosticmarkers associated with the object. In an embodiment, thecomputer-implemented method 100 analyzes the real-time video stream toidentify objects and then compares the identified object to referenceimages stored in a database. The database may be integral with themobile device or remotely accessible to the mobile device, such as overa network. The processor may also analyze the real-time video stream toidentify the location of the video, the time of the video, or otherdistinguishing characteristics of the real-time video stream. Thesedistinguishing characteristics may be used to assist thecomputer-implemented method in identifying the object or objects in thereal-time video stream.

Furthermore, in some instances, an object may include one or moremarkers identified by an object recognition application 225 that leadsthe object recognition application 225 to associate an object with morethan one document in the data storage. Markers are diagnosticcharacteristics of objects that can be used to identify the object. Insuch instances, the user may be presented with multiple candidatedocuments and may opt to choose the appropriate identification or inputa different identification. The multiple candidates may be presented tothe user by any means. For instance, in one embodiment, the candidatesare presented to the user as a list wherein the “strongest” candidatedocument is listed first based on reliability of the association. Uponinput by the user identifying the object, the object recognitionapplication 225 may “learn” from the input and store additional markersin order to avoid multiple identification candidates for the same objectin future identifications.

In block 106, the computer-implemented method 100 identifies a documentassociated with the object. In an embodiment, the database storing thereference images also includes associated documents. For example, whenthe computer-implemented method 100 identifies a match for the image ofthe object captured in the real-time video stream, thecomputer-implemented method receives information on the associateddocument. In an embodiment, the method receives a link to an onlinedocument, such as a form available on a webpage. In another embodiment,the method receives a file comprising the document, such as a scanneddocument or a fillable document. In some embodiments, the methodreceives an image of a document and creates the document for use by theuser. For example, a non-fillable document may be received by the methodas an electronic image. The method may have the functionality to createa document based off of the image such that fillable fields are providedto the user. As will be discussed, in some embodiments, these fields areautomatically populated with the user's information by the method.

In a still further embodiment, the method populates a document withoutcompleting a form. For example, a user may identify a document thatprovides entry into a contest. Rather than completing a form, however,the user may be able to submit the document by providing the informationto the contest organizer. The method may identify the information thatmust be provided to the contest organizer and provide some or all of theinformation to the contest organizer in an acceptable manner to theorganizer, such as via email, file transfer protocol, over the web, viatext message, etc. In this manner, documents are deconstructed intoinformation that is provided on the document and then that informationis manipulated by the method, e.g., identified, provided, submitted,etc., to assist the user in identifying, augmenting, and submittingforms and documents.

In block 108, the computer-implemented method 100 populates at least aportion of the document with information. In an embodiment, theinformation is user information such as the user's demographic,professional, financial, or personal information. The information may beprovided by the user, provided by the financial institution, oravailable publicly. For example, the user may update a data storage onthe mobile device with the user's contact information and personalinformation (e.g., driver's license number, social security number,height, weight, age, birthdate, family information, etc.). In someembodiments, the user's financial accounts can be provided in documents,for example in purchase orders or the like. In another embodiment, themethod populates the document with current information, such as thedate, time, or location. It should be understood that any type ofinformation may be populated into a document based on the requirementsof the document and the information available to thecomputer-implemented method. Further, the computer-implemented method100 is able to gather information in a variety of ways, such as byreceiving the information from the user, from the financial institution,or from the mobile device (e.g., clocks and positioning system devices).Thus, the computer-implemented method 100 is flexible in expanding thetypes of documents that can be augmented with user information.

In an embodiment, the user information is stored for future use as theuser information is identified. In some embodiments, the userinformation is stored in a data storage on the mobile device but inother embodiments the user information is stored remotely from themobile device. The user information may be encrypted for securitypurposes. In still further embodiments, the user information isidentified from a source other than the user but then the user isprompted to confirm the information. For example, thecomputer-implemented method 100 may determine the user's address frompublicly available records but confirm the address with the user beforeentering the address in a document.

In block 110, the computer-implemented method 100 provides offers to theuser. In an embodiment, the offer is provided based in part on thedocument. The offer may be for competitive products to the productrelated to the document, such as a competitive credit card application.In a still further embodiment, the offer provided to the user may be onethat the system determined to be likely used by the user. This is basedon the transactional data, biographical data, social network data,publicly available information, and the like, of the user. In oneembodiment, the computer-implemented method provides an offer associatedwith the document in combination with the time or location. For example,if the user is updating a personal itinerary with a flight numbercaptured from a plane ticket, the method may provide an offer to anairport coffee shop in the morning and a hotel local to the airport inthe evening. In one embodiment of the invention, the offer is anadvertisement. For example, the offer may be an advertisement for aproduct or service in a business related to the document. In otherembodiments, the offer may include a coupon, a solicitation, or arequest for volunteer service, etc. The offer may be customized for theuser with data from the user's financial accounts. The offer may be invisual (e.g., a written advertisement or a picture, etc.) or audible(e.g., a recording, a jingle, etc.) format.

In block 112, the computer-implemented method 100 presents an indicatorto the user. The indicator may relate to the user, to the document, orto a financial transaction completed in association with the document.In some embodiments, the indicator provides the information that will bepopulated in the document. For example, the document may be displayed ina screen and the indicator displays the user's information that will bepopulated in the document. In another embodiment, the indicator may be aprompt for the user to interact with information that will be used topopulate. For example, the mobile device may have two phone numbers forthe user and allow the user to select from between the phone numbers bytapping on the screen. In another embodiment, the indicator relates tothe document. For example, the indicator may provide a deadline for thesubmission of the document. The indicator may also be the address towhich the document must be sent, information on related documents thathave been completed previously (e.g., a previous tax form submitted bythe user, etc.), or the result of submission of the document (e.g., thelength of the warranty, etc.). In a still further embodiment, theindicator relates to a financial transaction that will be completed bysubmission of the document. For example, a document may be a transferrequest and the indicator may display the balance in the transferringaccount and/or the balance in the receiving account after the transferis completed. In another example, the indicator may convert thetransaction from one currency to another currency so that the user maybetter understand the terms of the transaction.

In some embodiments, the user provides input in response to theindicator. As discussed the user may provide input to the method in avariety of manners. For example, the user may select an indicator usinga touch-sensitive display. Optionally, the user may use a keyboard orother input device to provide input. In some embodiments, the method iscapable of receiving voice commands when the user speaks into a receiveron the mobile device. It should be understood that generic commands,such as “cancel,” “stop,” or “submit” are also possible.

In block 114, the computer-implemented method 100 submits the document.In an embodiment, the computer-implemented method 100 submits thedocument according to the user input. The method may approve a purchaseof a product or approve the transfer of funds as part of a gift orcharitable donation through a submission of a document. In someembodiments, the method submits the document to the financialinstitution, which thereafter completes the transaction.

It should be understood that every step does not need to occur in theorder described herein, or even need to occur at all. Different steps inthe computer-implemented method can be skipped or moved around and stillaccomplish the goal of populating a document based on identification ofobjects in a real-time video stream. The steps disclosed herein are notlimiting to the exact order discussed.

FIG. 2 illustrates an embodiment of a mobile device 200 that may beconfigured to execute object recognition and Augmented Realityfunctionality, in accordance with specific embodiments of the presentinvention. A “mobile device” 200 may be any mobile communication device,such as a cellular telecommunications device (i.e., a cell phone ormobile phone), personal digital assistant (PDA), smartphone, a mobileInternet accessing device, or other mobile device including, but notlimited to portable digital assistants (PDAs), pagers, mobiletelevisions, gaming devices, laptop computers, tablet computers,cameras, video recorders, audio/video players, radios, GPS devices, andany combination of the aforementioned, or the like.

The mobile device 200 may generally include a processor 210 communicablycoupled to such devices as a memory 220, user output devices 236, userinput devices 240, a network interface 260, a power source 215, a clockor other timer 250, an image capture device 270 (e.g., a camera), apositioning system device 275 (e.g., a Global Positioning System or GPSdevice), one or more integrated circuits 280, etc.

In some embodiments, the mobile device and/or the server access one ormore databases or data stores (not shown in FIG. 2) to search for and/orretrieve information related to the object and/or marker. In someembodiments, the mobile device and/or the server access one or more datastores 271 local to the mobile device and/or server and in otherembodiments, the mobile device and/or server access data stores remoteto the mobile device and/or server. In some embodiments, the mobiledevice and/or server access both a memory and/or data store local to themobile device and/or server as well as a data store remote from themobile device and/or server.

The processor 210, and other processors described herein, may generallyinclude circuitry for implementing communication and/or logic functionsof the mobile device 200. For example, the processor 210 may include adigital signal processor device, a microprocessor device, and variousanalog to digital converters, digital to analog converters, and/or othersupport circuits. Control and signal processing functions of the mobiledevice 200 may be allocated between these devices according to theirrespective capabilities. The processor 210 thus may also include thefunctionality to encode and interleave messages and data prior tomodulation and transmission. The processor 210 may additionally includean internal data modem. Further, the processor 210 may includefunctionality to operate one or more software programs or applications,which may be stored in the memory 220. For example, the processor 210may be capable of operating a connectivity program, such as a webbrowser application 222. The web browser application 222 may then allowthe mobile device 200 to transmit and receive web content, such as, forexample, location-based content and/or other web page content, accordingto a Wireless Application Protocol (WAP), Hypertext Transfer Protocol(HTTP), and/or the like.

The processor 210 may also be capable of operating applications, such asan AR presentation application 221. The AR presentation application 221may be downloaded from a server and stored in the memory 220 of themobile device 200. Alternatively, the AR presentation application 221may be pre-installed and stored in a memory in the integrated circuit280 or operated directly from a website operably linked to the mobiledevice 200 through the network interface 260. In embodiments, where theAR presentation application 221 is pre-installed or run from a website,the user may not need to download the AR presentation application 221from a server.

The memory 220 may also include an object recognition application 225configured to identify objects in still shots or video. In anembodiment, the object recognition application 225 identifies diagnosticfeatures of documents or objects in the still shot or video and thencompares the diagnostic features to a database of reference images usingalgorithms. The object recognition application 225 may be stored on themobile device 200 or may communicate with a remote server via an objectrecognition interface 273 in association with the network interface 260.The object recognition application 225 may be downloaded from a serverand stored in the memory 220 of the mobile device 200. Alternatively,the object recognition application 225 may be pre-installed and storedin a memory in an integrated circuit. In such an embodiment, the usermay not need to download the object recognition application 225 from aserver.

The user 310 may opt to execute the object recognition application 225or the AR presentation application 221 at any desired moment and beginvideo capture and analysis. However, in some embodiments, the objectrecognition application and/or AR presentation application 221 includesan “always on” feature in which the mobile device 200 is continuouslycapturing video and analyzing the objects 320 within the video stream.In such embodiments, the AR presentation application 221 may beconfigured to alert the user 310 that a particular object 320 has beenidentified. The user 310 may set any number of user preferences totailor the mobile device 200 to their needs. For instance, the user 310may opt to only be alerted if a specific object 320 is identified.Additionally, it will be appreciated that the “always on” feature inwhich video is continuously captured may consume the mobile device powersource 215 more quickly. Thus, in some embodiments, the “always on”feature may disengage if a determined event occurs such as low powersource 215, low levels of light for an extended period of time (e.g.,such as if the mobile device 200 is in a user's pocket obstructing aclear view of the environment from the mobile device 200), if the mobiledevice 200 remains stationary (thus receiving the same video stream) foran extended period of time, the user sets a certain time of day todisengage, etc. Conversely, if the “always on” feature is disengaged dueto the occurrence of such an event, the user 310 may opt for the “alwayson” feature to re-engage after the duration of the disengaging event(e.g., power source 215 is re-charged, light levels are increased,etc.).

In some embodiments, the processor 210 may also be capable of operatingone or more applications, such as one or more applications functioningas an artificial intelligence (“AI”) engine. The processor 210 mayrecognize objects that it has identified in prior uses by way of the AIengine. In this way, the processor 210 may recognize specific objectsand/or classes of objects, and store information related to therecognized objects in one or more memories and/or databases discussedherein. Once the AI engine has thereby “learned” of an object and/orclass of objects, the AI engine may run concurrently with and/orcollaborate with other modules or applications described herein toperform the various steps of the methods discussed. For example, in someembodiments, the AI engine recognizes an object that has been recognizedbefore and stored by the AI engine. The AI engine may then communicateto another application or module of the mobile device and/or server, anindication that the object may be the same object previously recognized.In this regard, the AI engine may provide a baseline or starting pointfrom which to determine the nature of the object. In other embodiments,the AI engine's recognition of an object is accepted as the finalrecognition of the object.

In another embodiment, the AI engine also assists in populating thedocument. In an embodiment, the AI engine evaluates the document anddetermines the data to use in populating the document. For example, theAI engine may categorize information in libraries, such as a workinformation library compared to a personal information library, andpopulate forms with information from the appropriate library. Forexample, a business credit card application may be completed with theuser's work email, work phone number, and work address, whereas apersonal credit card application may be completed with the user'spersonal email, home phone number, and home address from the libraries.The AI engine may identify the library to use from context associatedwith the document, such as the name of the credit card, or frominformation available in the database. In an embodiment, the AI enginemay prompt the user, such as through use of an indicator, to selectwhich library to use from a plurality of libraries, although in anotherembodiment the AI engine determines the library without input from theuser. In a further embodiment, the user is able to alter the library byinteracting with the mobile device if the user desires to use adifferent library. For example, a mobile device may be used by twoindividuals. The AI engine may construct a library for both individualsand allow the user to select which of the libraries to use.

The integrated circuit 280 may include the necessary circuitry toprovide the object recognition and/or AR functionality to the mobiledevice 200. Generally, the integrated circuit 280 will include datastorage 271 which may include data associated with the objects within avideo stream that the object recognition application 225 and/or ARpresentation application 221 identifies as having certain marker(s)(discussed in relation to FIG. 3). The integrated circuit 280 and/ordata storage 271 may be an integrated circuit, a microprocessor, asystem-on-a-chip, a microcontroller, or the like. As discussed above, inone embodiment, the integrated circuit 280 may provide the functionalityto the mobile device 200.

Of note, while FIG. 2 illustrates the integrated circuit 280 as aseparate and distinct element within the mobile device 200, it will beapparent to those skilled in the art that the object recognitionfunctionality of the integrated circuit 280 may be incorporated withinother elements in the mobile device 200. For instance, the functionalityof the integrated circuit 280 may be incorporated within the mobiledevice memory 220 and/or the processor 210. In a particular embodiment,the functionality of the integrated circuit 280 is incorporated in anelement within the mobile device 200 that provides object recognitioncapabilities to the mobile device 200. Moreover, the functionality maybe part of the firmware of the mobile device 200. Still further, theintegrated circuit 280 functionality may be included in a removablestorage device such as an SD card or the like.

The processor 210 may be configured to use the network interface 260 tocommunicate with one or more other devices on a network. In this regard,the network interface 260 may include an antenna 276 operatively coupledto a transmitter 274 and a receiver 272 (together a “transceiver”). Theprocessor 210 may be configured to provide signals to and receivesignals from the transmitter 274 and receiver 272, respectively. Thesignals may include signaling information in accordance with the airinterface standard of the applicable cellular system of the wirelesstelephone network that may be part of the network. In this regard, themobile device 200 may be configured to operate with one or more airinterface standards, communication protocols, modulation types, andaccess types. By way of illustration, the mobile device 200 may beconfigured to operate in accordance with any of a number of first,second, third, and/or fourth-generation communication protocols and/orthe like. For example, the mobile device 200 may be configured tooperate in accordance with second-generation (2G) wireless communicationprotocols IS-136 (time division multiple access (TDMA)), GSM (globalsystem for mobile communication), and/or IS-95 (code division multipleaccess (CDMA)), or with third-generation (3G) wireless communicationprotocols, such as Universal Mobile Telecommunications System (UMTS),CDMA2000, wideband CDMA (WCDMA) and/or time division-synchronous CDMA(TD-SCDMA), with fourth-generation (4G) wireless communicationprotocols, and/or the like. The mobile device 200 may also be configuredto operate in accordance with non-cellular communication mechanisms,such as via a wireless local area network (WLAN) or othercommunication/data networks.

The network interface 260 may also include an object recognitioninterface 273 in order to allow a user to execute some or all of theabove-described processes with respect to the object recognitionapplication 225 and/or the integrated circuit 280. The objectrecognition interface 273 may have access to the hardware, e.g., thetransceiver, and software previously described with respect to thenetwork interface 260. Furthermore, the object recognition interface 273may have the ability to connect to and communicate with an externalobject-oriented data storage on a separate system within the network asmeans of recognizing the object(s) in the video stream.

As described above, the mobile device 200 may have a user interface thatincludes user output devices 236 and/or user input devices 240. The useroutput devices 236 may include a display 230 (e.g., a liquid crystaldisplay (LCD) or the like) and a speaker 232 or other audio device,which are operatively coupled to the processor 210. The user inputdevices 240, which may allow the mobile device 200 to receive data froma user 310, may include any of a number of devices allowing the mobiledevice 200 to receive data from a user 310, such as a keypad, keyboard,touch-screen, touchpad, microphone, mouse, joystick, stylus, otherpointer device, button, soft key, and/or other input device(s).

The mobile device 200 may further include a power source 215. Generally,the power source 215 is a device that supplies electrical energy to anelectrical load. In one embodiment, power source 215 may convert a formof energy such as solar energy, chemical energy, mechanical energy, etc.to electrical energy. Generally, the power source 215 in the mobiledevice 200 may be a battery, such as a lithium battery, a nickel-metalhydride battery, or the like, that is used for powering variouscircuits, e.g., the transceiver circuit, and other devices that are usedto operate the mobile device 200. Alternatively, the power source 215may be a power adapter that can connect a power supply from a poweroutlet to the mobile device 200. In such embodiments, a power adaptermay be classified as a power source “in” the mobile device.

The mobile device 200 may also include a memory 220 operatively coupledto the processor 210. As used herein, memory may include any computerreadable medium configured to store data, code, or other information.The memory 220 may include volatile memory, such as volatile RandomAccess Memory (RAM) including a cache area for the temporary storage ofdata. The memory 220 may also include non-volatile memory, which can beembedded and/or may be removable. The non-volatile memory mayadditionally or alternatively include an electrically erasableprogrammable read-only memory (EEPROM), flash memory or the like.

The memory 220 may store any of a number of applications or programswhich comprise computer-executable instructions/code executed by theprocessor 210 to implement the functions of the mobile device 200described herein. For example, the memory 220 may include suchapplications as an object recognition application 225, an augmentreality (AR) presentation application 221 (described infra in relationto FIG. 2), a web browser application 222, a Short Message Service (SMS)application 223, an electronic mail (i.e., email) application 224, etc.

Referring to FIG. 3, a block diagram illustrating an AR experience 300in which a user 310 utilizes the mobile device 200 to capture a videostream that includes an environment 350 is shown. As denoted earlier,the mobile device 200 may be any mobile communication device. The mobiledevice 200 has the capability of capturing a video stream of thesurrounding environment 350. The video capture may be by any means knownin the art. In one particular embodiment, the mobile device 200 is amobile telephone equipped with an image capture device capable of videocapture.

The environment 350 contains a number of objects 320. Some of suchobjects 320 may include a marker 330 identifiable to an objectrecognition application that is either executed on the mobile device 200or within the wireless network. A marker 330 may be any type of markerthat is a distinguishing feature that can be interpreted by the objectrecognition application to identify specific objects 320. For instancein identifying a document, a marker may be some type of identifiablefeature, such as objects, logos, artwork, names, symbols, color schemes,products, text, locations and other features that identify the object320. In some embodiments, the marker 330 is a code such as a barcode, QRcode, or other identifying mark. In some embodiments, the marker 330 maybe audio and the mobile device 200 may be capable of utilizing audiorecognition to identify words or the unique qualities of a recordingassociated with a document. For example, the mobile device 200 mayidentify the audio associated with a credit card commercial and identifythe credit card application associated with the commercial. The marker330 may be any size, shape, etc. Indeed, in some embodiments, the marker330 may be the entire object 320 such as the document that will beaugmented.

In some embodiments, the mobile device and/or server accesses one ormore other servers, social media networks, applications and/or the likein order to retrieve and/or search for information useful in performingobject recognition. In some embodiments, the mobile device and/or serveraccesses another application by way of an application programminginterface or API. In this regard, the mobile device and/or server mayquickly search and/or retrieve information from the other programwithout requiring additional authentication steps or other gatewaysteps.

In some embodiments, the mobile device 200 and/or the server access oneor more databases or datastores (not shown) to search for and/orretrieve information related to the object and/or marker. In someembodiments, the mobile device 200 and/or the server accesses one ormore datastores local to the mobile device 200 and/or server and inother embodiments, the mobile device 200 and/or server access datastoresremote to the mobile device and/or server. In some embodiments, themobile device 200 and/or server access both a memory and/or datastorelocal to the mobile device 200 and/or server as well as a datastoreremote from the mobile device 200 and/or server

The marker 330 may be anything that enables the mobile device 200 tointerpret what the object is. For example, the mobile device 200 maycapture a series of numbers on the façade of a building, collect theuser's position using the positioning system device 275 and correlatethat position and the numbers to being at a specific business having anaddress available online. The mobile device 200 may then use the webbrowser application 222 and network interface 260 to access thebusiness's employment website and identify a job application documentfor the business. Accordingly, the markers 330 associated with thebusiness's building and other available information were sufficient toidentify the document.

While FIG. 3 illustrates that the objects 320 with markers 330 onlyinclude a single marker 330, it will be appreciated that the object 320may have any number of markers 330 with each equally capable ofidentifying the object 320. Similarly, multiple markers 330 may beidentified by the mobile device 200 such that the combination of themarkers 330 may be utilized to identify the object 320.

In some embodiments, a marker 330 may be the location of the object 320.In such embodiments, the mobile device 200 may utilize GlobalPositioning System (GPS) hardware and/or software or some otherlocation-determining mechanism to determine the location of the user 310and/or the object 320. As noted above, a location-based marker 330 couldbe utilized in conjunction with other non-location-based markers 330 andrecognized by the mobile device 200 to identify the object 320. However,in some embodiments, a location-based marker 330 may be the only marker330. For instance, in such embodiments, the mobile device 200 mayutilize GPS software to determine the location of the user 310 and acompass device or software to determine what direction the mobile device200 is facing in order to identify the object 320. In still furtherembodiments, the mobile device 200 does not utilize any GPS data in theidentification. In such embodiments, markers 330 utilized to identifythe object 320 are not location-based.

FIG. 4 illustrates the mobile device 200, specifically the display 230of the mobile device 200, wherein the mobile device 200 has executed anobject recognition application 225 and an AR presentation application221 to present within the display 230 indications of recognized objectswithin the video stream (i.e., surrounding environment 350). The mobiledevice 200 is configured to rely on markers 330 to identify objects 320,for example an advertisement, and identify a document associated withthe identified object 320. In some embodiments, mobile device 200displays an indicator 400 on the mobile device display 230 inconjunction with display of the video stream. As illustrated, if anobject 320 does not have any markers 330 (or at least enough markers 330to yield object identification), the object 320 will be displayedwithout an associated indicator 400. In an embodiment, the indicator 400includes at least some data populating a document.

The object recognition application 225 may use any type of means inorder to identify desired objects 320. For instance, the objectrecognition application 225 may utilize one or more pattern recognitionalgorithms to analyze objects in the environment 350 and compare withmarkers 330 in data storage which may be contained within the mobiledevice 200 (such as within integrated circuit 280) or externally on aseparate system accessible via the connected network. For example, thepattern recognition algorithms may include decision trees, logisticregression, Bayes classifiers, support vector machines, kernelestimation, perceptrons, clustering algorithms, regression algorithms,categorical sequence labeling algorithms, real-valued sequence labelingalgorithms, parsing algorithms, general algorithms for predictingarbitrarily-structured labels such as Bayesian networks and Markovrandom fields, ensemble learning algorithms such as bootstrapaggregating, boosting, ensemble averaging, combinations thereof, and thelike.

Upon identifying an object 320 within the video stream, in someembodiments the AR presentation application 221 is configured tosuperimpose an indicator 400 on the mobile device display 230. In anembodiment, the indicator 400 is generally a graphical representationthat highlights or outlines the object 320 and may be activatable (i.e.,include an embedded link), such that the user 310 may “select” theindicator 400 and retrieve information related to the identified object.The indicator 400 may be a tab or link displayed such that the user 310may “select” the indicator 400. In embodiments in which the indicator400 provides an interactive tab to the user 310, the user 310 may selectthe indicator 400 by any conventional means, e.g., keystroke, touch,voice command, iris tracking, or the like, for interaction with themobile device 200. For instance, in some embodiments, the user 310 mayutilize an input device 240 such as a keyboard to highlight and selectthe indicator 400 in order to retrieve the information. In a particularembodiment, the mobile device display 230 includes a touch screen thatthe user may employ to select the indicator 400 utilizing the user'sfinger, a stylus, or the like. In yet other embodiments, the indicatorinformation related to the identified object may be visualized by theuser 310 without “selecting” the indicator 400. In some embodiments, theindicator 400 is not interactive and simply provides information to theuser by superimposing the indicator 400 on the display 230. For example,in some instances it may be beneficial for the AR presentationapplication 221 to merely identify an object 320, e.g., just identifythe document associated with the object, give brief information aboutthe document, etc., rather than provide extensive detail that requiresinteraction with the indicator 400. The AR presentation application 221is capable of being tailored to a user's desired preferences.

Furthermore, the indicator 400 may be displayed at any size on themobile device display 230. The indicator 400 may be small enough that itis positioned on or next to the object 320 being identified such thatthe object 320 remains discernable behind the indicator 400.Additionally, the indicator 400 may be semi-transparent or an outline ofthe object 320, such that the object 320 remains discernable behind orenclosed by the indicator. In other embodiments, the indicator 400 maybe large enough to completely cover the object 320 portrayed on thedisplay 230. Indeed, in some embodiments, the indicator 400 may cover amajority or the entirety of the mobile device display 230. In a stillfurther embodiment, the indicator 400 is displayed proximate the object320 but when selected causes an image of the document to appear on theuser's mobile device display 230.

The indicator 400 may relate to the document associated with the object,i.e., the identified document. In another embodiment, the indicator 400relates to the user of the mobile device or to a financial transactionthat can be conducted with the identified document. In an embodiment,the indicator 400 provides information to the user. The information mayinclude any desired information associated with the identified documentand may range from basic information to greatly detailed information. Insome embodiments, the indicator 400 may provide the user 310 with a linkto the document associated with the object 320. In a still furtherembodiment, the indicator 400 presents options to the user forcontrolling the document. For example, the indicator 400 may includetags that populate the document with libraries of user information, suchas business user information or personal user information. The indicator400 may also display various actions that can be taken regarding thedocument, such as autofill, submission, recording, printing,communicating, copying, applying, etc.

In some embodiments, selecting the indicator 400 will cause the ARpresentation application 221 to automatically populate the documentassociated with the object, such as with the user's personalinformation. In some instances, the populating functionality may be apart of the AR presentation application 221. In other embodiments, theAR presentation application may access the user's accounts associatedwith a financial institution enabling the user 310 to select informationthat will be used to populate the document without having to input datasuch as a credit card number or billing address. In other embodiments,when the user 310 selects the indicator 400 to automatically populatethe document, the AR presentation application 221 will activate the webbrowser application 222 to allow the user to submit the document overthe Internet.

In some embodiments, selecting the indicator 400 will cause thecomputer-implemented method to send offers to the user of the mobiledevice. The alternative offers may be associated with the document. Forexample, an employer may use the computer-implemented method to targetjob applications to individuals that are applying for jobs withcompetitors. In another embodiment, the offer is tailored to theindividual, such as by evaluating the user's financial or demographicinformation and tailoring the offer based on the information. Forexample, offers for job applications closer to the individual's home maybe made to the user. In another embodiment, the current time or locationwhen the offer is provided will be used to customize the offer. Forexample, if a personal itinerary is being populated with informationfrom a plane ticket, the user may be provided offers to coffee shops inthe airport in the morning and restaurants in the evening.

In another embodiment, selecting the indicator 400 allows the user tosubmit the document. In one embodiment, the user is able to immediatelypopulate the document and then submit it. For example, a user may usethe computer-implemented system and method to identify a job applicationfor a business and then complete the job application with the user'sinformation and submit the job application to the business. In a stillfurther embodiment, the user is able to identify documents using thecomputer-implemented system and method and then conduct transactions,such as purchases, transfers, loans, gifts, or charitable donationsusing the document.

Turning now to FIG. 5, a block diagram illustrating an AR environment500 wherein a document 502 is presented to the user 310 is provided, inaccordance with an embodiment of the invention. The user 310 is using amobile device 200 to capture an image of the environment 350 on adisplay 230. In an embodiment, the environment 350 may include multipleobjects 320, such as signs, text, or symbols.

As discussed herein, the mobile device captures the objects 320 and theprocessor compares the objects to reference images stored in databases,such as an Augmented Reality (AR) database 514 or a financialinstitution database 512. The AR database 514 may store relationshipsbetween reference images, objects, markers, and associated documents.The financial institution database 512 may store information relating tothe user, such as user data, personal data, financial data, and offersassociated with the user or merchants. The mobile device 200 maycommunicate with the databases over a network 510.

The network 510 may be a global area network (GAN), such as theInternet, a wide area network (WAN), a local area network (LAN), or anyother type of network or combination of networks. The network 510 mayprovide for wireline, wireless, or a combination wireline and wirelesscommunication between devices on the network.

In some embodiments, the mobile device displays an indicator 400, suchas a translation of text 506. The indicator 400 is displayed over top oradjacent to the text 506 in the display 230. The mobile device maydisplay multiple indicators 400 on the screen. For example, a secondindicator 400 associated with a different object, e.g., a symbol 508,may be displayed on the screen. In an embodiment, some indicators 400may be activated in order to display the associated document. In theexample related to the symbol 508, the indicator has not yet beenactivated and thus the document is not displayed.

In an embodiment, once the indicator 400 for an object 320 is selected,a document associated with the object 320 is provided to the user. Forexample, the display 230 may change from displaying the real-time videoto displaying the document 502. In an embodiment, the mobile device 200also populates fields 504 in the document 502 with the user's data. Theuser may cycle between the document 502 and the real-time video, overlaythe document 502 on the real-time video, or submit the document 502. Inthis manner, the mobile device assists the user in managing documentsthrough object recognition and document augmentation.

The systems, methods, computer program products, etc. described herein,may be utilized or combined with any other suitable AR-relatedapplication. Non-limiting examples of other suitable AR-relatedapplications include those described in the following U.S. ProvisionalPatent Applications, the entirety of each of which is incorporatedherein by reference:

U.S. Provisional Serial No. Filed On Title 61/450,213 Mar. 8, 2011Real-Time Video Image Analysis Applications for Commerce Activity61/478,409 Apr. 22, 2011 Presenting Offers on a Mobile CommunicationDevice 61/478,412 Apr. 22, 2011 Real-Time Video Analysis for RewardOffers 61/478,394 Apr. 22, 2011 Real-Time Video Image Analysis forProviding Targeted Offers 61/478,399 Apr. 22, 2011 Real-Time AnalysisInvolving Real Estate Listings 61/478,402 Apr. 22, 2011 Real-Time VideoImage Analysis for an Appropriate Payment Account 61/478,405 Apr. 22,2011 Presenting Investment-Related Information on a Mobile CommunicationDevice 61/478,393 Apr. 22, 2011 Real-Time Image Analysis for MedicalSavings Plans 61/478,397 Apr. 22, 2011 Providing Data Associated WithRelationships Between Individuals and Images 61/478,408 Apr. 22, 2011Identifying Predetermined Objects in a Video Stream Captured by a MobileDevice 61/478,400 Apr. 22, 2011 Real-Time Image Analysis for ProvidingHealth Related Information 61/478,411 Apr. 22, 2011 Retrieving ProductInformation From Embedded Sensors Via Mobile Device Video Analysis61/478,403 Apr. 22, 2011 Providing Social Impact Information AssociatedWith Identified Products or Businesses 61/478,407 Apr. 22, 2011Providing Information Associated With an Identified Representation of anObject 61/478,415 Apr. 22, 2011 Providing Location Identification ofAssociated Individuals Based on Identifying the Individuals inConjunction With a Live Video Stream 61/478,419 Apr. 22, 2011 VehicleRecognition 61/478,417 Apr. 22, 2011 Collective Network of AugmentedReality Users 61/508,985 Jul. 18, 2011 Providing Information RegardingMedical Conditions 61/508,946 Jul. 18, 2011 Dynamically IdentifyingIndividuals From a Captured Image 61/508,980 Jul. 18, 2011 ProvidingAffinity Program Information 61/508,821 Jul. 18, 2011 ProvidingInformation Regarding Sports Movements 61/508,850 Jul. 18, 2011Assessing Environmental Characteristics in a Video Stream Captured by aMobile Device 61/508,966 Jul. 18, 2011 Real-Time Video Image Analysisfor Providing Virtual Landscaping 61/508,969 Jul. 18, 2011 Real-TimeVideo Image Analysis for Providing Virtual Interior Design 61/508,971Jul. 18, 2011 Real-Time Video Image Analysis for Providing DeepeningCustomer Value 61/508,973 Jul. 18, 2011 Real-Time Video Image Analysisfor Providing Security 61/508,976 Jul. 18, 2011 Providing RetailShopping Assistance 61/508,944 Jul. 18, 2011 Recognizing FinancialDocument Images

As will be appreciated by one of ordinary skill in the art, the presentinvention may be embodied as an apparatus (including, for example, asystem, a machine, a device, a computer program product, and/or thelike), as a method (including, for example, a business process, acomputer-implemented process, and/or the like), or as any combination ofthe foregoing. Accordingly, embodiments of the present invention maytake the form of an entirely software embodiment (including firmware,resident software, micro-code, etc.), an entirely hardware embodiment,or an embodiment combining software and hardware aspects that maygenerally be referred to herein as a “system.” Furthermore, embodimentsof the present invention may take the form of a computer program productthat includes a computer-readable storage medium havingcomputer-executable program code portions stored therein. As usedherein, a processor may be “configured to” perform a certain function ina variety of ways, including, for example, by having one or moregeneral-purpose circuits perform the functions by executing one or morecomputer-executable program code portions embodied in acomputer-readable medium, and/or having one or more application-specificcircuits perform the function.

It will be understood that any suitable computer-readable medium may beutilized. The computer-readable medium may include, but is not limitedto, a non-transitory computer-readable medium, such as a tangibleelectronic, magnetic, optical, infrared, electromagnetic, and/orsemiconductor system, apparatus, and/or device. For example, in someembodiments, the non-transitory computer-readable medium includes atangible medium such as a portable computer diskette, a hard disk, arandom access memory (RAM), a read-only memory (ROM), an erasableprogrammable read-only memory (EPROM or Flash memory), a compact discread-only memory (CD-ROM), and/or some other tangible optical and/ormagnetic storage device. In other embodiments of the present invention,however, the computer-readable medium may be transitory, such as apropagation signal including computer-executable program code portionsembodied therein.

It will also be understood that one or more computer-executable programcode portions for carrying out operations of the present invention mayinclude object-oriented, scripted, and/or unscripted programminglanguages, such as, for example, Java, Perl, Smalltalk, C++, SAS, SQL,Python, Objective C, and/or the like. In some embodiments, the one ormore computer-executable program code portions for carrying outoperations of embodiments of the present invention are written inconventional procedural programming languages, such as the “C”programming languages and/or similar programming languages. The computerprogram code may alternatively or additionally be written in one or moremulti-paradigm programming languages, such as, for example, F#.

It will further be understood that some embodiments of the presentinvention are described herein with reference to flowchart illustrationsand/or block diagrams of systems, methods, and/or computer programproducts. It will be understood that each block included in theflowchart illustrations and/or block diagrams, and combinations ofblocks included in the flowchart illustrations and/or block diagrams,may be implemented by one or more computer-executable program codeportions. These one or more computer-executable program code portionsmay be provided to a processor of a general purpose computer, specialpurpose computer, and/or some other programmable data processingapparatus in order to produce a particular machine, such that the one ormore computer-executable program code portions, which execute via theprocessor of the computer and/or other programmable data processingapparatus, create mechanisms for implementing the steps and/or functionsrepresented by the flowchart(s) and/or block diagram block(s).

It will also be understood that the one or more computer-executableprogram code portions may be stored in a transitory or non-transitorycomputer-readable medium (e.g., a memory, etc.) that can direct acomputer and/or other programmable data processing apparatus to functionin a particular manner, such that the computer-executable program codeportions stored in the computer-readable medium produce an article ofmanufacture, including instruction mechanisms which implement the stepsand/or functions specified in the flowchart(s) and/or block diagramblock(s).

The one or more computer-executable program code portions may also beloaded onto a computer and/or other programmable data processingapparatus to cause a series of operational steps to be performed on thecomputer and/or other programmable apparatus. In some embodiments, thisproduces a computer-implemented process such that the one or morecomputer-executable program code portions which execute on the computerand/or other programmable apparatus provide operational steps toimplement the steps specified in the flowchart(s) and/or the functionsspecified in the block diagram block(s). Alternatively,computer-implemented steps may be combined with operator and/orhuman-implemented steps in order to carry out an embodiment of thepresent invention.

Thus, methods, systems, computer programs and the like have beendisclosed that provide for using real-time video analysis, such as AR orthe like to assist the user of mobile devices with commerce activities.Through the use real-time vision object recognition objects, logos,artwork, products, locations and other features that can be recognizedin the real-time video stream can be matched to data associated withsuch to assist the user with commerce activity. The commerce activitymay include, but is not limited to; conducting a transaction, providinginformation about a product/service, providing rewards basedinformation, providing user-specific offers, or the like. In specificembodiments, the data that matched to the images in the real-time videostream is specific to financial institutions, such as user financialbehavior history, user purchase power/transaction history and the like.In this regard, many of the embodiments herein disclosed leveragefinancial institution data, which is uniquely specific to financialinstitution, in providing information to mobile devices users inconnection with real-time video stream analysis.

While the foregoing disclosure discusses illustrative embodiments, itshould be noted that various changes and modifications could be madeherein without departing from the scope of the described aspects and/orembodiments as defined by the appended claims. Furthermore, althoughelements of the described aspects and/or embodiments may be described orclaimed in the singular, the plural is contemplated unless limitation tothe singular is explicitly stated. Additionally, all or a portion of anyembodiment may be utilized with all or a portion of any otherembodiment, unless stated otherwise.

While certain exemplary embodiments have been described and shown in theaccompanying drawings, it is to be understood that such embodiments aremerely illustrative of and not restrictive on the broad invention, andthat this invention not be limited to the specific constructions andarrangements shown and described, since various other changes,combinations, omissions, modifications and substitutions, in addition tothose set forth in the above paragraphs, are possible. Those skilled inthe art will appreciate that various adaptations and modifications ofthe just described embodiments can be configured without departing fromthe scope and spirit of the invention. Therefore, it is to be understoodthat, within the scope of the appended claims, the invention may bepracticed other than as specifically described herein.

1. A computer-implemented method for populating a document based onidentification of an object in an augmented reality environment, themethod comprising: analyzing, via a computing device processor, a videostream comprising an object; determining, via a computing deviceprocessor, the object in the video stream; identifying, via a computingdevice processor, a document associated with the object; and populatingthe document with user information.
 2. The computer-implemented methodof claim 1, further comprising capturing the video stream using a mobiledevice.
 3. The computer-implemented method of claim 1, whereindetermining the object comprises: capturing an image of the object inthe video stream; and comparing the image to a reference image.
 4. Thecomputer-implemented method of claim 1, further comprising presenting anindicator in the video stream.
 5. The computer-implemented method ofclaim 4, wherein the indicator is associated with the document.
 6. Thecomputer-implemented method of claim 5, wherein the indicator is theuser information that will be populated in the document.
 7. Thecomputer-implemented method of claim 4, wherein the indicator isassociated with a financial transaction associated with the document. 8.The computer-implemented method of claim 7, wherein the indicator is thebalance in at least one of the accounts after completion of thefinancial transaction associated with the document.
 9. Thecomputer-implemented method of claim 1, further comprisingelectronically submitting the document.
 10. The computer-implementedmethod of claim 1, further comprising providing an offer to the user,wherein the offer is associated with the document.
 11. An apparatus forpopulating a document based on identification of objects, the apparatuscomprising: a computing platform having a processor, a memory incommunication with the processor, and image capture logic stored in thememory, executable by the processor and configured to capture a videostream, and identification logic stored in the memory, executable by theprocessor and configured to identify objects in the video stream, andimage comparison logic stored in the memory, executable by the processorand configured to identify a document based on comparison of the objectto a reference image; and document population logic stored in thememory, executable by the processor and configured to populate thedocument.
 12. The apparatus of claim 11, further comprising presentationlogic stored in the memory, executable by the processor and configuredto present one or more indicators on a display, each indicator presentedin a live video stream proximate a location of the identified object.13. The apparatus of claim 11, further comprising a positioning systemdevice, wherein the document is identified based at least in part on alocation of the object determined by the positioning system device. 14.The apparatus of claim 11, further comprising a networking device,wherein the reference image is received via the networking device. 15.The apparatus of claim 11, further comprising a microphone, wherein thedocument is identified at least in part on an audio recording of theobject.
 16. The apparatus of claim 11, further comprising an inputdevice, wherein the user conducts a transaction using the populateddocument by actuating the input device.
 17. The apparatus of claim 16,wherein the input device is a touch sensitive pad.
 18. The apparatus ofclaim 11, wherein the reference image is stored in the memory.
 19. Theapparatus of claim 11, wherein the video stream is captured by a videocamera.
 20. The apparatus of claim 11, wherein the video stream iscaptured over a networking device and stored in the memory.
 21. Acomputer program product, comprising a non-transitory computer-readablemedium comprising computer-executable instructions for populating adocument based on identification of an object, the instructionscomprising: instructions for determining an object in a video streamcaptured on a mobile communication device based on comparison with areference image; instructions for identifying a document associated withthe object; and instructions for populating the document.
 22. Thecomputer program product of claim 21, further comprising instructionsfor presenting information related to the document.
 23. The computerprogram product of claim 22, wherein in the information is presentedreal-time on the video stream.
 24. The computer program product of claim23, where the information is financial information of a user.
 25. Thecomputer program product of claim 22, wherein the information is thedata that will populate the document.
 26. The computer program productof claim 21, further comprising instructions for receiving input from auser, wherein the input causes the document to be submitted to a thirdparty.
 27. The computer program product of claim 26, wherein the inputis received from a touch sensitive screen.
 28. The computer programproduct of claim 21, further comprising instructions for receivinginformation for a financial institution database, wherein theinformation is used to populate the document.